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at EM2C lab, which consists in introducing virtual species and reactions whose thermodynamic and chemical properties are optimized by machine learning algorithms to retrieve properties of reference flames
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges
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for battery electrodes), and potential key role in superlubrication. We will use a range of modelling techniques such as density functional theory, xTB, and potentially machine learning approaches. The project
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-dimensional Euclidean spaces - Machine learning - Distributed computing - Complexity (communication, queries, memory) - Continuous optimization The specific topic can be refined based on the candidates' skills
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, particularly Python and ML libraries, and use of remote calculation servers. Knowledge of informational, library and archival issues in the digital age and/or mastery of traditional machine learning tools
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(Project IRP INANOMEP of the CNRS, France-Belgium). The synergy between non-linear optics, theoretical chemistry, and machine learning gives a pronounced interdisciplinary character to the project
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, control, machine learning. Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 2 months ago
developed by MaIAGE partners (e.g. Omnicrobe application*, Ontobiotope ontology*, extraction workflow). Expected results:The PhD student will design and evaluate original machine-learning-based methods
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facial expressions and modifications in speech patterns using NLP and machine learning techniques. This will be achieved by analyzing video recordings of multiple patients, with each recording annotated by